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in Plant Biotechnology with further PGT programmes scheduled for future delivery. Our research and teaching is supported by outstanding research infrastructure in advanced bioimaging (including super
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Learning, Algorithms, Noise Handling (Error Correction/Mitigation), and Verification. These roles are part of the Quantum Software Lab (QSL, link: https://www.quantumsoftwarelab.com ), in collaboration with
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algorithms. The research focuses on wind energy applications, creating a compelling sustainability narrative: developing more efficient computational methods to optimize wind farm performance, which in turn
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the development of their own research ideas/adaptation and development of research protocols. Successful applicants will, ideally, be in post by 1 October 2025. Interviews are scheduled to take place on Friday 29th
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aims to develop formal frameworks and algorithms for eliciting, aggregating, and analysing stakeholder preferences over risk and safety in AI systems. The Research Assistant will support the development
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and evaluation. The post holder will take a leading role in advancing theoretical and algorithmic research in the domain of probabilistic preference aggregation, contribute to the design and analysis
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range of flexible working arrangements, including hybrid and tailored schedules, which can be discussed with your line manager. If you require reasonable adjustments during the recruitment process or in
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, including hybrid and tailored schedules, which can be discussed with your line manager. If you require reasonable adjustments during the recruitment process or in your role, please let us know so we can
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Experience in devising and developing novel machine learning algorithms Hands on experience with ROS and physical robots Excellent mathematics skills, particularly in areas relevant to robotics and AI
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AM Apply Before 07/27/2025, 11:59 PM Job Schedule Full time Locations Edgbaston, Birmingham, West Midlands, B15 2TT, GB